Blog-on-Digital-Transformation

Posts Tagged ‘Research and Development’

No to SaaS? Dismissing the Fear of On-demand

June 9, 2008 | 6 Comments | Alena Semeshko
"Software as a service" takes over despite the concerns some companies still have. Surprisingly, integrating SaaS can lead to improved security and IT productivity.

Mitigating SOA Risks

May 29, 2008 | 0 Comments | Alena Semeshko
Being still confused with integration and mashups, service-oriented architecture possesses a couple of challenges to address.

Neglecting the Quality of Data Leads to Failed CRM Projects

April 25, 2008 | 0 Comments | Alena Semeshko...
One in three companies do not validate customer-related and prospect data.

Poor Data Quality Can Have Long-Term Effects

April 18, 2008 | 0 Comments | Alena Semeshko
Following a thorough data quality strategy may take a while, but you won’t regret it.

Awesome Mashups and How to Start Creating Them

April 14, 2008 | 4 Comments | Alena Semeshko...
Today, you can see mashups integrating news, music...and even an umbrella using GPS.

BI Has No Future? What Do Surveys Say?

April 3, 2008 | 0 Comments | Alena Semeshko
A survey reveals good news for business intelligence vendors. Still, industry analysts suggest a number of improvements.

Daylight Saving Time Can Harm BI and Data Integration?

March 24, 2008 | 0 Comments | Alena Semeshko
Not only does DST disrupt sleep patterns, it also generates inconsistencies across software systems.

Data Cleansing and Validation Using StrikeIron Services and Apatar

March 7, 2008 | 0 Comments | Alex Khizhniak...
Two new data quality connectors will enable integration experts to automatically verify US addresses and e-mail accounts within their CRM/ERP systems.

What Is ETL (Extract, Transform, and Load)?

March 6, 2008 | 0 Comments | Alena Semeshko
The ETL (Extract, Transform, and Load) process is an integral part of data integration and data warehousing.

Five Ways to Measure Your Programmers’ Performance

March 4, 2008 | 0 Comments | Julia Guzman...
This research explains how to unbiasedly measure the performance of in-house or remote development teams to increase overall productivity by 20%–40%.
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